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Cohere Launches Comprehensive Fine-Tuning Suite

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Cohere Launches Comprehensive Fine-Tuning Suite

Today, we launch a comprehensive suite of fine-tuning capabilities for enterprise.
Today, we are launching three new fine-tuning capabilities: * Chat fine-tuning: For developing natural, personalized, and context-sensitive interactions that elevate customer support and virtual assistant conversations * Rerank fine-tuning: For transforming search and recommendation systems with superior accuracy to deliver more relevant results and an improved user experience * Multi-label classification fine-tuning: For streamlining text analysis with simultaneous multi-label categorizatio

Efficient LLM Finetuning with T-Few

Efficient LLM Finetuning with T-Few

Hemant Jain on LinkedIn: Challenges in Providing LLMs as a Service

Hemant Jain on LinkedIn: Challenges in Providing LLMs as a Service

The Generative A.I. Brief #23 - by Michael Spencer

The Generative A.I. Brief #23 - by Michael Spencer

Starting the Chat Fine-Tuning

Starting the Chat Fine-Tuning

wiretunnel (@wiretunnel) / X

wiretunnel (@wiretunnel) / X

Predera launches LLMcloud.ai, A Fast Generative AI Cloud with Inference and Fine  Tuning of Open Source LLMs

Predera launches LLMcloud.ai, A Fast Generative AI Cloud with Inference and Fine Tuning of Open Source LLMs

Fine-Tuning co:here Natural Language Generation, by Cobus Greyling

Fine-Tuning co:here Natural Language Generation, by Cobus Greyling

wiretunnel (@wiretunnel) / X

wiretunnel (@wiretunnel) / X

Context by Cohere

Context by Cohere

Announcing New Tools to Help Every Business Embrace Generative AI

Announcing New Tools to Help Every Business Embrace Generative AI

Alexandre Matton (@alexmattonnlp) / X

Alexandre Matton (@alexmattonnlp) / X

wiretunnel (@wiretunnel) / X

wiretunnel (@wiretunnel) / X

Alexandre Matton (@alexmattonnlp) / X

Alexandre Matton (@alexmattonnlp) / X

Fine-Tuning co:here Natural Language Generation, by Cobus Greyling

Fine-Tuning co:here Natural Language Generation, by Cobus Greyling